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Simulation and Analysis of Renewable and Nonrenewable Capacity Scenarios under Hybrid Modeling: A Case Study

Author

Listed:
  • José D. Morcillo

    (Escuela de Ingeniería y Tecnologías, Universidad de Monterrey, Monterrey 66238, Mexico
    These authors contributed equally to this work.)

  • Fabiola Angulo

    (Departamento de Ingeniería Eléctrica, Electrónica y Computación, Universidad Nacional de Colombia, Sede Manizales, Manizales 170003, Colombia
    These authors contributed equally to this work.)

  • Carlos J. Franco

    (Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Colombia
    These authors contributed equally to this work.)

Abstract

This work analyzes the response of the electricity market to varied renewable and nonrenewable installed capacity scenarios while taking into account the variability of renewables due to seasonality and El Niño-Southern Oscillation (ENSO) episodes. A hybrid system dynamics/dynamic systems (SD/DS) model was developed by first deriving an SD hypothesis and stock-flow structure from the Colombian electricity supply and demand dynamics. The model’s dynamic behavior was then transformed into a Simulink model and analyzed using the DS tools of bifurcation and control theory to provide deeper insights into the system, both from a Colombian perspective and from the perspective of other market scenarios. Applying the developed hybrid model to the Colombian electricity market provided a detailed description of its dynamics under a broad range of permanent (fossil fuel) and variable (renewable) installed capacity scenarios, including a number of counterintuitive insights. Greater shares of permanent capacity were found to guarantee the security of supply and system robustness in the short-term (2021–2029), whereas greater shares of variable capacity make the system more vulnerable to increased prices and blackouts, especially in the long-term (2040–2050). These critical situations can be avoided only if additional capacity from either conventional or non-conventional generation is quickly installed. Overall, the methodology proposed for building the hybrid SD/DS model was found to provide deeper insights and a broader spectrum of analysis than traditional SD model analysis, and thus can be exploited by policy makers to suggest improvements in their respective market structures.

Suggested Citation

  • José D. Morcillo & Fabiola Angulo & Carlos J. Franco, 2021. "Simulation and Analysis of Renewable and Nonrenewable Capacity Scenarios under Hybrid Modeling: A Case Study," Mathematics, MDPI, vol. 9(13), pages 1-26, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1560-:d:587542
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    References listed on IDEAS

    as
    1. Morcillo, José D. & Franco, Carlos J. & Angulo, Fabiola, 2018. "Simulation of demand growth scenarios in the Colombian electricity market: An integration of system dynamics and dynamic systems," Applied Energy, Elsevier, vol. 216(C), pages 504-520.
    2. Teufel, Felix & Miller, Michael & Genoese, Massimo & Fichtner, Wolf, 2013. "Review of System Dynamics models for electricity market simulations," Working Paper Series in Production and Energy 2, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    3. José D. Morcillo & Fabiola Angulo & Carlos J. Franco, 2020. "Analyzing the Hydroelectricity Variability on Power Markets from a System Dynamics and Dynamic Systems Perspective: Seasonality and ENSO Phenomenon," Energies, MDPI, vol. 13(9), pages 1-25, May.
    4. Zapata, Sebastian & Castaneda, Monica & Franco, Carlos Jaime & Dyner, Isaac, 2019. "Clean and secure power supply: A system dynamics based appraisal," Energy Policy, Elsevier, vol. 131(C), pages 9-21.
    5. Wang, Jidong & Wu, Jiahui & Che, Yanbo, 2019. "Agent and system dynamics-based hybrid modeling and simulation for multilateral bidding in electricity market," Energy, Elsevier, vol. 180(C), pages 444-456.
    6. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    7. Ahmad, Salman & Mat Tahar, Razman & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Abdul Rahim, Ruzairi, 2016. "Application of system dynamics approach in electricity sector modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 29-37.
    8. Isaac Dyner, 2000. "Energy modelling platforms for policy and strategy support," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(2), pages 136-144, February.
    9. Shariatzadeh, Farshid & Mandal, Paras & Srivastava, Anurag K., 2015. "Demand response for sustainable energy systems: A review, application and implementation strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 343-350.
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